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In this paper, we describe an efficient method for audio matching which performs effectively for a wide range of classical music. The basic goal of audio matching can be described as follows: consider an audio database containing several CD recordings for one and the same piece of music interpreted by various musicians. Then, given a short query audio clip(More)
Given a large audio database of music recordings, the goal of classical audio identification is to identify a particular audio recording by means of a short audio fragment. Even though recent identification algorithms show a significant degree of robustness towards noise, MP3 compression artifacts, and uniform temporal distortions, the notion of similarity(More)
Significant digitization efforts have resulted in large multi-modal music collections comprising visual (scanned sheet music) as well as acoustic material (audio recordings). In this paper, we present a novel procedure for mapping scanned pages of sheet music to a given collection of audio recordings by identifying musically corresponding audio clips. To(More)
We propose a new type of audio feature (HFCC-ENS) as well as an unsupervised method for detecting short sequences of spoken words (key-phrases) within long speech recordings. Our technical contributions are threefold: Firstly, we propose to use bandwidth-adapted filterbanks instead of classical MFCC-style filters in the feature extraction step. Secondly,(More)
In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a b s t r a c t Trends in bird population sizes are an important indicator in nature(More)
We present an efficient and robust multiscale DTW (Ms-DTW) approach to music synchronization for time-aligning CD recordings of different interpretations of the same piece. The general strategy is to recursively project an alignment path computed at a coarse resolution level to the next higher level and then to refine the projected path. As main(More)
One major goal of structural analysis of an audio recording is to automatically extract the repetitive structure or, more generally, the musical form of the underlying piece of music. Recent approaches to this problem work well for music where the repetitions largely agree with respect to instrumen-tation and tempo, as is typically the case for popular(More)
Similarity matrices have become an important tool in music audio analysis. However, the quadratic time and space complexity as well as the intricacy of extracting the desired structural information from these matrices are often prohibitive with regard to real-world applications. In this paper, we describe an approach for enhancing the structural properties(More)
The extraction of local tempo and beat information from audio recordings constitutes a challenging task, particularly for music that reveals significant tempo variations. Furthermore, the existence of various pulse levels such as measure, tactus, and tatum often makes the determination of absolute tempo problematic. In this paper, we present a robust(More)
This tutorial describes techniques essential for searching the large multimedia databases that are now common on the Internet. There are up to 10 million songs in commercial music catalogues and over 300 million images stored in online photo services such as Flickr. How can we find the music, videos or images we want? How can we organize such large(More)